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|Title:||Enhanced automatic detection of human settlements using Sentinel-1 interferometric coherence|
|Authors:||CORBAN CHRISTINA; LEMOINE GUIDO; PESARESI MARTINO; KEMPER THOMAS; SABO FILIP; FERRI STEFANO; SYRRIS VASILEIOS|
|Citation:||INTERNATIONAL JOURNAL OF REMOTE SENSING vol. 39 no. 3 p. 842-853|
|Publisher:||TAYLOR & FRANCIS LTD|
|Type:||Articles in periodicals and books|
|Abstract:||This article presents an experiment in which multi-temporal interferometric coherence calculated from 6-days Sentinel-1A and Sentinel-1B image pairs and backscatter intensity σ° are jointly used for the extraction of built-up areas in the framework of the symbolic machine learning classification. The results obtained with the proposed approach confirm the enhanced capabilities of discriminating built-up areas when using coherence information in comparison to two available global human settlement layers derived: (1) from Landsat optical data and (2) from Sentinel-1 ground range detected data and based on backscatter intensity σ° only. The experiment carried out in The Netherlands Randstad area is expected to be indicative of the results obtainable for urban areas having similar structures and types of built-up.|
|JRC Directorate:||Space, Security and Migration|
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